Objective assessment of the image quality is of keen importance in numerous image processing applications. Various objective quality assessment indexes have been developed for this purpose, of which… (More)
Human eyes are the best evaluation model for assessing the image quality as they are the ultimate receivers in numerous image processing applications. Mean squared error (MSE) and peak… (More)
Performance of the image denoising algorithms can be evaluated as a function of two main post-filtering parameters- the noise remained (in the image) known as 'residual noise' and the blurring (or… (More)
Text to speech (TTS) systems hold promise as an information access tool for literate and illiterate including visually challenged. Current TTS systems can convert a typical text into a natural… (More)
Best management practices (BMPs) are often used to control nonpoint source (NPS) pollutants from agricultural, forested, and urban watersheds. NPS models are used to estimate pollutant loads, devise… (More)
In this paper, we reviewed different methods used in Content-based image retrieval, to resolve the problem of efficient and similar digital image retrieval from large databases with high precision.… (More)